70 lines
3.1 KiB
Python
70 lines
3.1 KiB
Python
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import cv2
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import mediapipe as mp
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import time
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import math
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import pyautogui
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cap = cv2.VideoCapture(0)
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pyautogui.PAUSE = 0.01
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mpHands = mp.solutions.hands
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hands = mpHands.Hands(max_num_hands=1, min_tracking_confidence=0.80, min_detection_confidence=0.90)
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mpDraw = mp.solutions.drawing_utils
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testing = 23
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click_dis = 35
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sensitivity = 3.5
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def get_distance(first, second, height, width):
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dist_x = (results.multi_hand_landmarks[0].landmark[first].x - results.multi_hand_landmarks[0].landmark[
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second].x) * width
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dist_y = (results.multi_hand_landmarks[0].landmark[first].y - results.multi_hand_landmarks[0].landmark[
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second].y) * height
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return math.sqrt(abs(dist_x ** 2 + dist_y ** 2))
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x, y = None, None
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while True:
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success, img = cap.read()
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h, w, c = img.shape
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imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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results = hands.process(imgRGB)
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if results.multi_hand_landmarks:
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dist_palm = round(get_distance(0, 9, h, w) / 100, 3)
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if not x and not y:
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x, y = results.multi_hand_landmarks[0].landmark[4].x * w, results.multi_hand_landmarks[0].landmark[4].y * h
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dis_1 = get_distance(4, 8, h, w)
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cv2.putText(img, f"""dist 4-8: {round(dis_1)}/{round(testing * dist_palm, 2)}""", (0, 15),
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cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
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cv2.putText(img, f"""MOVE: {"True" if dis_1 < testing else "False"}""", (0, 40),
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cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
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cv2.putText(img, f"""dist 4-12: {round(get_distance(12, 4, h, w))}/{round(click_dis * dist_palm, 2)}""",
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(0, 65),
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cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
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cv2.putText(img, f"""CLICK: {"True" if get_distance(12, 4, h, w) < click_dis * dist_palm else "False"}""",
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(0, 90),
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cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
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cv2.putText(img, f"""dsit 0-9: {dist_palm}""", (0, 115),
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cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
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for handLms in results.multi_hand_landmarks:
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mpDraw.draw_landmarks(img, handLms)
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if dis_1 < testing * dist_palm and get_distance(12, 4, h, w) < click_dis * dist_palm:
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pyautogui.dragRel(-(results.multi_hand_landmarks[0].landmark[3].x * w - x) * sensitivity,
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(results.multi_hand_landmarks[0].landmark[3].y * h - y) * sensitivity, duration=0.001)
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elif dis_1 < testing * dist_palm:
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pyautogui.moveRel(-(results.multi_hand_landmarks[0].landmark[3].x * w - x) * sensitivity,
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(results.multi_hand_landmarks[0].landmark[3].y * h - y) * sensitivity, duration=0.001)
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elif get_distance(12, 4, h, w) < click_dis * dist_palm and not click:
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pyautogui.click()
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click = True
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# mouse.click("left")
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print("clicked")
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else:
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click = False
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x, y = results.multi_hand_landmarks[0].landmark[3].x * w, results.multi_hand_landmarks[0].landmark[3].y * h
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else:
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x, y = None, None
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cv2.imshow("Image", img)
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cv2.waitKey(1)
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